The relocalization of production closer to human need, which could diminish matter-energy usage by two-thirds
for - stats - cosmolocalization - localization can reduce matter-energe usage by 60%
The relocalization of production closer to human need, which could diminish matter-energy usage by two-thirds
for - stats - cosmolocalization - localization can reduce matter-energe usage by 60%
The mutualization of such production and consumption, which can diminish matter-energy usage by another 80%.
for - stats - cosmolocalization - mutualization can reduce matter-energy usage by another 80%
understand influence of knot placement
cyclical trends
example of modeling cyclical trends
six-month period between November of 52 and April of 53 where we unlocked first the power of the nucleus because we could fuse hydrogen and the other thing we were able to do was uh figure out the threedimensional structure of nucleic acid in the form of the double helix
for - stats - history - Nov 1952 - hydrogen bomb - -April 1953 - discovery of DNA
between 240,000 and 325,000 women and children are trafficked in the United States every year.
for stats - 240,000 to 325,000 children and women trafficked every year in America
t if you just go with the CDC numbers, you've got over 50 million Americans that have been molested when they were underage
for - stats - CDC - underaged American children who have been molested - 50 million / year - 5 % boys - 25% girls
science tells us that kids learn better from one from zero from the birth to five years old they're the fastest they're the best at learning model them then just do what they do you can't get better than that
for - stats - natural language acquisition - 1 to 2 year old is age of fastest and best learning
comment - ALG philosophy - replicate the experiences that 1 to 2 year olds have
recommend 18 feet with an 8 inch diameter chimney yep as long as you've got that you're going to have draft
for - sustainable space heating - masonry heater - tip - chimney length for adequate draft - stats - masonry heater chimney length -18 feet for 8 inch diameter pipe to get good draft
it should never get crucial as long as you're burning 20 or less moisture content would
for - sustainable heating - masonry heater - tip - firewood moisture content - stats - wood burned in masonry heater - less than 20% moisture content to avoid creosol deposits
AI alignment researchers estimate less than a 10% chance that we lose control of superintelligent AI once it’s built. More typical estimates range from 10-80%, depending on who you ask.
for - stats - chances of losing control of ASI - 10 to 80%
America is something like 10% of global trade and 90% of foreign exchange transactions involve the dollar. So the dollar is being used in transactions that have nothing to do with U.S. goods being traded from one country to another.
for - quote - US reserve currency - used for 10% of global trade - and 90% of foreign exchange - stats - US reserve currency - used for 10% of global trade - and 90% of foreign exchange
big egg indust industry
for - stats - big ag takes 30% of profits - small farmers take 5%
From May to November, I would match with a total of 60 men across a wide conservative spectrum
for - stats - liberal dated 60 conservative, MAGA men in a year
for - colonialism - impacts - Americas - little ice age - cause - genocide of indigenous people in 17th century - abandoned fields - stats - colonialism - genocide - 55 million people - cooling of planet - MAGA - How to make the Americas great again - colonialism - justice - to - paper - Earth system impacts of the European arrival and Great Dying in the Americas after 1492 - https://hyp.is/fHnyIBL3EfCpcmfnGW26DA/www.sciencedirect.com/science/article/pii/S0277379118307261
comment - The MAGA movement needs to deeply reflect on this - They claim national pride but do not go further back in history than the establishment of the United States - They need to recognize how the US was established on genocide in order to live in cultural truth - This reality creates a contradiction to their entire theme of white national power - It makes the elimination of DEI hypocritical as indigenous peoples have a far more legitimate claim than they do
wealthier countries owe US$36 trillion to African countries in climate debt
for - stats - climate justice - climate debt - Global North owes Global South 36 trillion USD
The Action Aid report calculates that rich countries achieved up to 70% of their economic growth by using more than their fair share of the climate budget.
for - report - Action Aid - climate justice - stats - 70% of economic growth of global North - unequal carbon budget
Did you know? Employees who participate in gamification are 50% more productive and 60% more engaged.
Proven statistic
for - carbon inequality - stats - carbon inequality
if everyone emitted carbon at the same rate as the luxury transport emissions of 50 of the world’s richest billionaires, the remaining carbon budget would be gone in two days
for - carbon inequality - stats - carbon inequality - 2 days of our carbon budget - if everyone emitted transportation emissions of 50 richest billionaires - source - Oxfam - Carbon Inequality kills - 2024
Between 1776 and the present, the United States seized some 1.5 billion acres from North America’s native peoples
for - stats - early US settlers seized 1.5 billion acres of land starting from 1776
if you wanna eat bread even this kind of bread you need to exercise you know how much the average Swiss walks in a day they walk 9,000 steps every day look at your health app you should be walking at least 9,000 steps if you want to eat any kind of bread
for - stats - health - eating bread - 9000 steps a day - to - step calculator - https://www.omnicalculator.com/sports/steps-to-km - approximately 7km walk each day
for - YouTube - health - diet - stats - health - 9000 steps a day - bread
$80 trillion in wealth has been redistributed from the bottom 90 percent of Americans to the richest 1 percent over the past 50 years
for - stats - inequality - US - past 50 years - wealth redistribution - $80 trillion from bottom 90% - to top 1%
Kenya’s new bond issued in March has an interest rate of 10.375 percent—vastly higher than the 6.875 percent ten-year bond that it helped to replace.
for - stats - Kenya IMF debt
hese rehab facilities the these addiction treatment centers they they they CL 85% of them in the US are based on the disease model 85% and an almost overlapping 85% uses 12-step methods as their primary primary uh um uh intervention method well you know that's hard to actually figure out because medicine is this and 12 steps has very little to do with medicine it's kind of based on a religious orientation
> for - stats - addiction - rehab centers - 85% are based on disease model - and 85% use a religious oriented 12 step program
conventional rehab programs have very poor success rates usually people relapse anywhere from 2 to 10 times it's you know it's a re revolving door phenomenon
> for - stats - addiction - rehab relapse - 2 to 10 times - addiction - rehab - revolving door
success rate in AA is 5 to 8%
> for - stats - AA - success rate - 8% - ego fatigue
with tobacco it's 25 years
> for - stats - addiction - tobacco - average duration - 25 years
alcohol it's 15 years
> for - stats - addiction - alcohol - average duration - 15 years
with marijuana if you smoke it compulsively it's six years
> for - stats - addiction - marijuana - average duration - 6 years
with cocaine the average duration of an addiction is four years
> for - stats - addiction - cocaine - average duration - 4 years
global coding class, which is about 34 million digital nomads right now and maybe 10 million with a crypto wallet. Again, they're not rooted. They're rootless, and they should be root-full.
for - stats - 2025 - digital nomads - 34 million - with crypto - 10 million - rootless - SOURCE - Youtube Ma Earth channel interview - Devcon 2024 - Cosmo Local Commoning with Web 3 - Michel Bauwens - 2025, Jan 2
history of labor
for - paraphrase - history of labor - SOURCE - Youtube Ma Earth channel interview - Devcon 2024 - Cosmo Local Commoning with Web 3 - Michel Bauwens - 2025, Jan 2 - to - stats - Gallup Chairman's Blog - world poll 2024 - 15% of employees worldwide are engaged - SOURCE - Youtube Ma Earth channel interview - Devcon 2024 - Cosmo Local Commoning with Web 3 - Michel Bauwens - 2025, Jan 2
paraphrase - history of labor - Michel gives a nice succinct summary of the broad strokes of the history of labor over the last few millennia: - Civilizations have begun as slave-based societies first - Then when the Christian revolution occurred after the fall of the Roman Empire, "Ora et Labora (Pray and Work)" was adopted to transform work into a spiritually meaningful endeavor - Then in the 16th century, this philosophy was replaced by turning labor into a commodity, where it has remained ever since, - resulting in a world where 85% of those surveyed say they are not engaged with their job
to - stats - Gallup Chairman's Blog - world poll 2024 - 15% of employees worldwide are engaged - https://hyp.is/iOlXbNBOEe-t6hdOWtvTYw/news.gallup.com/opinion/chairman/212045/world-broken-workplace.aspx
A shared car association, every shared car replaces 9 to 13 private cars for the same amount of travel freedom, point to point. You don't lose any freedom like you would in public transport. It's just like a neighborhood shares a dozen cars. 95% of the cars are in the garage at any time.
for - example - efficacy of mutualisation - transportation - cars - SOURCE - Youtube Ma Earth channel interview - Devcon 2024 - Cosmo Local Commoning with Web 3 - Michel Bauwens - 2025, Jan 2 - stats - mutualisation - transportation - cars - 1 car can replace 13 - car is parked most of the time - 10% of existing cars doubles our requirement - SOURCE - Youtube Ma Earth channel interview - Devcon 2024 - Cosmo Local Commoning with Web 3 - Michel Bauwens - 2025, Jan 2
for - stats - job satisfaction - Gallup poll 2024 - engaged employees worldwide - 15% - Gallup CEO - Jim Clifton - from - Youtube Ma Earth channel interview - Devcon 2024 - Cosmo Local Commoning with Web 3 - Michel Bauwens - 2025, Jan 2 - https://hyp.is/FiFXpNBMEe-n_Jc4-PJ5_A/www.youtube.com/watch?v=UCkLHj6r7y8
relative humidity decreases as the temperature increases and uh it often Falls below 10%
for - stats - Santa Ana winds dries to less than 10% relative humidity - SOURCE - Youtube - climate crisis - 2025 Los Angeles fires - The Catastrophic Climate Driven Conflagaration in Los Angeles - Paul Beckwith - 2025, Jan 10
the air warms adiabatically which means that it depends on the lapse rate as you as you go to lower and lower altitudes um the temperature increases so the lapse rate is actually the drop of temperature as you get further from the surface of the Earth in dry air the adiabatic lapse rate is n about 10° CS per kilometer or about a degree celsius per uh 100 MERS okay so the as the air is coming down it's warming about 1° cels for each 100 meters of desent
for - physics - adiabatic warming - lapse rate - Santa Ana winds - venturi effect through canyons increases wind speed - SOURCE - Youtube - climate crisis - 2025 Los Angeles fires - The Catastrophic Climate Driven Conflagaration in Los Angeles - Paul Beckwith - 2025, Jan 10 - stats - Santa Ana winds warms 1 Deg C every 100 meter of descent due to adiabatic warming lapse rate - SOURCE - Youtube - climate crisis - 2025 Los Angeles fires - The Catastrophic Climate Driven Conflagaration in Los Angeles - Paul Beckwith - 2025, Jan 10
a five-fold increase in summer burned area during 1996 to 2021 relative to 1971 to 1995
for - stats - 2025 Los Angeles fires - 5x increase in summer burned area - SOURCE - Youtube - climate crisis - 2025 Los Angeles fires - The Catastrophic Climate Driven Conflagaration in Los Angeles - Paul Beckwith - 2025, Jan 10
for - report - climate crisis - food system transformation - Public climate finance for food systems transformation - Global Alliance for the Future of Food - 2024, Nov - from - post - LinkedIn - Jonathan Foley - This is very, very important - stats - 2.5% climate funding for food system that contributes 30% of global climate emissions - 2025, Jan 3 - https://hyp.is/zKE7vsqkEe-RFB8co7Pdqw/www.linkedin.com/posts/jonathan-foley-182808b9_foodsystemeconomicscommission-cop29-climatefinance-activity-7281009061003706369-P1b0/ - TPC network - motivation
While the food system contributes about 22-34% of the world’s greenhouse gases — it only gets about 2.5-3% of the climate funding.
for - stats - climate crisis - funding - food system - contributes 30% of global emissions - receives 2.5% climate funding - only 1.5% of the 2.5% goes to sustainable food systems - source - Public climate finance for food systems transformation - Global Alliance for the Future of Food - 2024, Nov - reposted on LinkedIn by Jonathan Foley - to - Public climate finance for food systems transformation - Global Alliance for the Future of Food - 2024, Nov - https://hyp.is/E3p2hsqlEe-tG0ezHCPriw/futureoffood.org/wp-content/uploads/2024/11/ga_climatefinancereport_2024.pdf - TPC network - motivation
p(doom) is the "probability of doom" or the chances that AI takes over the planet or does something to destroy us,
for - p(doom) - definition - stats - p(doom) - 0.01 to 99.999999%
p(doom) - definition - the "probability of doom" or the chances that AI takes over the planet or does something to destroy us,
stats - p(doom) - founders of AI - Yann LeCun - less than 0.01% - Geoff Hinton - 10% chance on the next 20 years - Yoshua Bengio - 20% - Roman Yampolskiy, AI safety scientist and director of the Cyber Security Laboratory at the University of Louisville - 99.999999%
there still seems to be a little bit of Gap in data that doesn't account for 0.2 de celsus warming that is present extra scientists have not been able to comfortably explain over the past in fact several years why there is this little bit of extra global warming it is a major major Gap
for - stats - climate crisis - global mean temperature gap in models vs measurement of - 0.2 Deg C - from The Print - YouTube - Low clouds disappearing over earth, rapidly acceleration heating - 2024, Dec
Open source technology, now responsible for 80% of all used software
for - stats - 80% of all used software is open source - from Substack article - The Cosmo-Local Plan for our Next Civilization - Michel Bauwens - 2024, Dec 20
mutualizing forms of governance and ownership, can also have extraordinary effects on the amount of needed energy and materials. For example, in the context of shared transport, one shared car can replace 9 to 13 private cars, without any loss of mobility.
for - stats - climate crisis - example - positive impacts of mutualisation / sharing - car sharing - 1 Shared car can replace 9 to 13 cars without loss of mobility - from Substack article - The Cosmo-Local Plan for our Next Civilization - Michel Bauwens - 2024, Dec 20
The current global system of production and trade is reported to use three times more of its resource use for transport, not for making. This creates a profound ‘ecological’, i.e. biophysical and thermodynamic, rationale for relocalizing production
for - stats - motivation for cosmolocal - high inefficacy of resource and energy use - 3x for transport as for production - from Substack article - The Cosmo-Local Plan for our Next Civilization - Michel Bauwens - 2024, Dec 20
there are 490.000 babies born each day. That is 5 to 6 babies that are born every second of the day.
for - stats - birth - 490,000 babies born every day - 5 to 6 every second - Anna Veerwal - Doula - birth educator
$38 million for the top 0.1%; $10 million for next 0.9% (the rest of the top 1%) $1.8 million for next 9% (rest of top 10%) $165,382 next 40% (rest of top half) 0$ for the bottom 50%
for - inequality - stats - global income thresholds for top 0.1% to bottom 50%
inequality - stats - global income thresholds for top 0.1% to bottom 50% - top 0.1% - $38,000,000 - next 0.9% below - $10,000,000 (rest of top 1%) - next 9% below - $ 1,800,000 (rest of top 10%) - next 40% below - $165,382 (rest of top 50%) - bottom 50% - $0
for - stats - carbon inequality - poorest 50% emit 12% - richest 10% emit 48% - Chancel, 2022
less than 5% of the world's population stewarding more than 80% of the world's biodiversity.
for - stats - biodiversity stewardship - 5% of the world's population - stewarding 80% of the world's biodiversity - Post Capitalist Philanthropy - Alnoor Ladha - Lynn Murphy - 2023
philanthropy, if we take it as a sector or an industry or as a biome, as we say in the book, it's a massive, massive sector. It's about $2.2 trillion. So it's equivalent to the GDP of Canada, a G7 country. It would be one of the top ten, maybe top eight industries in the world. And it's completely excluded, very little transparency, labyrinth rules and systems, opaque and almost no public discourse about it.
for - stats - philanthropy - possibly the world's 8th largest industry - with little transparency - Post Capitalist Philanthropy Webinar 1 - Alnoor Ladha - Lynn Murphy - 2023
The potential for cuts in 2030 is 31 gigatons of CO2 equivalent – which isaround 52 per cent of global greenhouse gas emissions in 2023 – and 41gigatons in 2035.· Increased deployment of solar photovoltaic technologies and wind energy coulddeliver 27 per cent of this total emission reduction potential in 2030 and 38 percent in 2035.· Action on forests could deliver around 20 per cent of the potential in both years.• Other strong options include efficiency measures, electrification and fuelswitching in the buildings, transport and industry sectors.
for - stats - 27% of the gap can be reduced by wind and solar deployment and 20% by action on forests, while efficiency, electrification, fuel switching in buildings, transport and industry sectors can also contribute - UN Emissions Gap Report 2024 - Key Messages
f only current NDCs are implemented and no further ambition is shown in the newpledges, the best we could expect to achieve is catastrophic global warming of up to2.6°C over the course of the century
for - stats - Current National Declared Commitments (NDCs) only take us to a disastrous 2.6 Deg. C over the course of the century.- UN Emissions Gap Report 2024 - Key Messages
Since greenhouse gas emissions grew 1.3 per cent year-on-year to 57.1 gigatonsof carbon dioxide equivalent in 2023, the task has become harder; 7.5 per centmust be shaved off emissions every year until 2035 for 1.5°C
for - stats - GHG emissions grew 1.3 % year-on-year to 57.1 Gton CO2 eq in 2023 - UN Emissions Gap Report 2024 - Key Messages - stats - 7.5% decarbonization rate is now required every year to stay under 1.5 Deg C - UN Emissions Gap Report 2024 - Key Messages
To get on a least-cost pathway for 1.5°C, emissions must fall 42 per cent by2030, compared to 2019 levels.
for - stats - 2030 emissions - 42% lower than 2019 to stay within 1.5 Deg C - UN 2024 Emission's Gap Report
A similar magnitude (about 20 pct savings) is found in ref. 10.
for - stats - climate change - emissions reductions from behavioral change - 20% reduction in households
a change towards climate-friendly behavior by citizens can reduce greenhouse gas (GHG) emissions substantially: up to one-third of the total EU mitigation target pledged
for - stats - climate change - emissions reductions from behavioral change - 33% reduction in EU
A study published in Nature Climate Change estimated a reduction of 17% in daily emissions in early April 2020 (Figure 1). Greenhouse gas emissions had a reduction of 17 percent from a year earlier on April 7. At the time, China, the United States, India, and other major carbon-emitting countries were all at high levels of quarantine. Overall, daily carbon dioxide emissions decreased by an average of 8.6% between January and April compared to the same period in 2019 (Figure 1).
for - stats - carbon emissions reduction during covid - decarbonization rate - 17% in early April 2020 and 8.6% average between Jan and Apr 2020 compared to same period in 2019
Since 2020, incumbent parties in Western democracies have lost 40 out of 54 elections — meaning the odds of an incumbent defeat in the past few years have been just shy of 80 percent.
for - stats - defeat of incumbents since 2020 in Western democracies is about 80%
Most people in America today (85–90%) agree on most issues and topics (85–90%). The so-called polarization is the result of a media landscape that amplifies the voices of the 10–15% that keep constantly talking about the 10–15% of topics on which people are not on the same page.
for - stats - most people in America agree on 85 - 90% of issues - unpack why and how the 10 - 15% is made so divisive
as with any social group that is a power law curve meaning for instance eighty percent of Trump supporters will change their view if they're listened to consistently maybe 19% are going to be resistant and need a good few conversations for them to at least have doubts and 1% are frankly psychopathic and they're never gonna change
for - stats - Perato's law - social transformation - fascism, polarization and climate crisis - climate communication - 80% will change if we listen, 19% will require deeper conversations - 1% will not change - Roger Hallam
this is a graph showing the average connection speed uh of the G7 countries and this is from 2007 to 2012 and the average connection speed hasn't increased as much as other things like processing power or or storage
for - stats - internet - average connection speed - hasn't increased as much as storage and processing power
The research finds
for - stats - green growth - 2024 - Global South vs Global North
stats - green growth - 2024 - Global South has - 60% of world population - 20% of fossil fuel production - fossil fuel production in decline - 70% of global renewable resource potential - In 2024, 87% of capex of electricity generation is renewable - From 2019 to 2024, renewable energy has grown 23% annually and now supplies 9% of its electricity - 17% of Global South has already overtaken Global North in % of renewable electricty generation
Why you don’t see it is because it’s subtle, very sophisticated and it is a massive business.
for - quote - organized crime in Cape Town
quote - organized crime in Cape Town - Andre Lincoln - Caryn Dolley - (see below) - Why you don’t see it is because it’s subtle, very sophisticated and it is a massive business. - How many restaurants and clubs on these famous streets are paying protection money to criminals? It's pretty startling - And what about construction shakedowns? 63 billion Rand of projects impacted in 2019 - https://hyp.is/Smjb3I5CEe-fXHsx-Sy8kQ/www.inclusivesociety.org.za/post/overview-of-the-construction-mafia-crisis-in-south-africa
In 2019, at least 183 infrastructure and construction projects worth more than R63-billion had been affected by the construction mafia.
for - stats - construction mafia impacts - South Africa - 2019 - R63 billion - Overview of the Construction Mafia Crisis in South Africa - Inclusive Society Institute - 2023
the right of the laborer to his hundred dollars in the savings bank, and equally the legal right of the millionaire to his millions.
for - critique - extreme wealth inequality cannot be avoided for the greater improvement of society - The Gospel of Wealth - Andrew Carnegie - stats - Mondragon corporation - comparison of pay difference between highest paid and lowest paid - adjacency - Gandhi quote - Andrew Carnegie beliefs in The Gospel of Wealth
critique - extreme wealth inequality cannot be avoided for the greater improvement of society - The Gospel of Wealth - Andrew Carnegie - It's a matter of degree - Wealth differences within US corporations of 344 to 1 are obscene and not necessary, as proven by - Wealth difference of 6 to 1 in Mondragon federation of cooperatives - To quote - Gandhi, there is enough to meet everyone's needs but not enough to meet everyone's greed - The great problem with such large wealth disparity is that those who know how to game the system can earn obscene amounts of money - and since the concept of luxury goods is made desirable and proportional to monetary wealth, it creates a positive feedback loop of insatiability - The combination of engaging in ever greater luxury lifestyle and power is intoxicating and addictive
to - stats - Mondragon corporation - comparison of pay difference between highest paid and lowest paid - https://hyp.is/QAxx-o14Ee-_HvN5y8aMiQ/www.csmonitor.com/Business/2024/0513/income-inequality-capitalism-mondragon-corporation
That this talent for organization and management is rare among men is proved by the fact that it invariably secures for its possessor enormous rewards, no matter where or under what laws or conditions.
for - critique - extreme wealth a reward for rare management skills - Andrew Carnegie - The Gospel of Wealth - Mondragon counterexample - to - stats - Mondragon pay difference between highest and lowest paid - article - In this Spanish town, capitalism actually works for the workers - Christian Science Monitor - Erika Page - 2024, June 7
critique - extreme wealth a reward for rare management skills - Andrew Carnegie - The Gospel of Wealth - Mondragon counterexample - This is invalidated today by large successful cooperatives such as Mondragon
to - stats - Mondragon corporation - comparison of pay difference between highest paid and lowest paid - https://hyp.is/QAxx-o14Ee-_HvN5y8aMiQ/www.csmonitor.com/Business/2024/0513/income-inequality-capitalism-mondragon-corporation
The income disparity between the highest- and lowest-paid employees in Mondragon’s cooperatives is capped at a ratio of 6-to-1, compared with a typical ratio of 344-to-1 in the United States. (It’s typically 77-to-1 in Spain.)
for - stats - Mondragon corporation - pay difference comparison between highest paid and lowest paid - from - essay - The Gospel of Wealth - Andrew Carnegie - Carnegie organization
from - essay - The Gospel of Wealth - Andrew Carnegie - Carnegie organization - https://hyp.is/dIoiDo16Ee-0n2OpOK3lwg/www.carnegie.org/about/our-history/gospelofwealth/
stats - Mondragon corporation - comparison of pay difference between highest paid and lowest paid - Modragon - 6 to 1 - typical US - 344 to 1 - typical Spain - 77 to 1
for - Link rot study - on NY Times archive - show how pervasive it is - stats - link rot - NY Times study - digital decay - link rot - internet is ephemeral - dead links
for - digital delay stats - Pew Research
summary - That digital decay and link rot are digital facts of life means that annotating information on the page that is relevant for you to preserve is a good practice. - It may appear redundant but if that page disappears in the future, you will be glad you have preserved it in a place accessible to you - in your annotations!
The study looked at over 550,000 articles, which contained over 2.2 million links to external websites. It found that 72 percent of those links were “deep,” or pointing to a specific page rather than a general website. Predictably, it found that, as time went on, links were more likely to be dead: 6 percent of links in 2018 articles were inaccessible, while a whopping 72 percent of links from 1998 were dead.
for - stats - link rot - digital decay study - NY Times - 550,000 articles - 2.2 million links - 6% dead in 2018 articles - 72% dead in 1998 articles.
for - digital delay stats - Pew Research
summary - That digital decay and link rot are digital facts of life means that annotating information on the page that is relevant for you to preserve is a good practice. - It may appear redundant but if that page disappears in the future, you will be glad you have preserved it in a place accessible to you - in your annotations!
tweets
for stats - digital decay - twitter -20% of tweets are no longer publicly visible 0ne month later
54% of Wikipedia pages contain at least one link in their “References” section that points to a page that no longer exists.
for - stats - digital stats - 54% of Wikipedia pages contain at least one link in their “References” section that points to a page that no longer exists.
23% of news webpages contain at least one broken link, as do 21% of webpages from government sites.
for - stats - digital decay - 23% of news webpages contain at least one broken link, - stats - digital decay - 21% of webpages from government sites contain at least one broken link
38% of webpages that existed in 2013 are not available today
for stats - digital stats - 38% of webpages in 2013 no longer exist May 2024
A quarter of all webpages that existed at one point between 2013 and 2023 are no longer accessible
for - stats - digital decay - 25% of webpages that existed from 2013 to 2023 no longer exist as of Oct 2023
stats - digital decay - A quarter of all webpages that existed at one point between 2013 and 2023 are no longer accessible as of October 2023
Our estimated safe ESB is that around 50–60% of global land surface should be in largely intact, natural condition to halt species extinction, secure biosphere contributions to climate regulation, and stabilise regional water cycles.
for - stats - earth system boundary - biodiversity - intact natural systems - 50 to 60% global land need to be intact
10% of natural or semi-natural habitat per km2 is a sharper threshold, below which evidence suggests that many NCP would almost no longer be provided.
for - stats - earth system boundary - biodiversity - human modified ecosystems -absolute minimum of 10% - below this, many of Nature's contribution to people would no longer be provided
safe boundary of at least 20–25% of natural or semi-natural habitat per km2 in human-modified lands (ie, urban and agro-ecosystems) is needed to support both Earth-system NCP and local NCP, in addition to the functions provided by largely intact lands.
for - stats - earth system boundary - biodiversity - human modified ecosystems - minimum of 20 to 25% natural / semi-natural habitat per square kilometer
human-modified ecosystems, we systematically analysed six critical NCP at local scales
for - stats - earth system boundary - biodiversity - human modified ecosystems - 6 critical Nature's Contribution to People at local scales
stats - earth system boundary - biodiversity - human modified ecosystems - 6 critical Nature's Contribution to People at local scales - pollination pest and disease control - water-quality regulation - soil protection - natural hazards mitigation - recreation
The amount of intact natural land as of 2018 was around 15% below this ESB, but could be increased through restoring degraded ecosystems or previously converted ecosystems,102,103,106102.Strassburg, BBN ∙ Iribarrem, A ∙ Beyer, HL ∙ et al.Global priority areas for ecosystem restorationNature. 2020; 586:724-729CrossrefScopus (536)PubMedGoogle Scholar103.Jung, M ∙ Arnell, A ∙ de Lamo, X ∙ et al.Areas of global importance for conserving terrestrial biodiversity, carbon and waterNat Ecol Evol. 2021; 5:1499-1509CrossrefScopus (162)PubMedGoogle Scholar106.Wolff, S ∙ Schrammeijer, EA ∙ Schulp, CJE ∙ et al.Meeting global land restoration and protection targets: what would the world look like in 2050?Glob Environ Change. 2018; 52:259-272CrossrefScopus (72)Google Scholar with conservation efforts distributed across all ecoregions.
for - stats - earth system boundary - biodiversity - intact natural systems - 15% below ESB in 2018
Degradation ofecosystem services could be significantly slowed down or even reversed if the role ofbiodiversity and its full contribution to economic production were an integrated part ofdecisions made by governmental entities, companies, and other stakeholders (Paul et al2020)20
for - biodiversity - impact of monoculture diet
biodiversity - impact of monoculture diet - FAO study done before 2000 and often cited shows that 75% of the global diet comes from 12 plant and 5 animal food sources
to - stats - progress trap - monoculture - table of 12 plant and 5 animal species that make up 75% of world's diet - https://hyp.is/iznepFWoEe-umbNyOGVqrg/thefuturemarket.com/biodiversity
The global annual market value of animalpollinated crops is estimated between USD 235–577 billion(OECD 2019)
for - stats - global annual economic cost of insect pollinators - 235 to 577 billion USD - OECD 2019
The study analysedindirect dependencies on ecosystem services and concluded that EUR510 billion, or 36% ofthe EUR 1.4 trillion in investments held by Dutch financial institutions, is highly or very highlydependent on one or more ecosystem services.
for - stats - ecosystem disruption and financial losses study - Dutch investors risk 510 billion EUR or 36% of the Dutch 1.4 trillion EURO investment is at risk
for - stats - table of 12 plants and 5 animal species that make up 75% of the world's food (FAO)
from - Swiss RE Biodiversity and Ecosystem Services (BES) index report - https://hyp.is/Jqw9MlWpEe-DhnehMbtbjA/www.swissre.com/dam/jcr:a7fe3dca-c4d6-403b-961c-9fab1b2f0455/swiss-re-institute-expertise-publication-biodiversity-and-ecosystem-services.pdf
for - stats - table of 12 plants and 5 animal species that make up 75% of the world's food (FAO)
we are at an urgency point. I mean, we know we need to cut global emissions by half within the next five years, by 2030, and we're not near to that.
for - stats - climate crisis intervention - urgency - reduce emissions by 50% in 5 years!
during these 250, 000 years, as fully modern humans, I mean, basically, with the physical intellectual capacity you and I have,
for - stats - anthropology - she of modern humans - 250,000 year stats - anthropology - she of modern humans - 250,000 years - quote - Ronald Wright - update from 50,000 to 250,000 years old
there are over 300 edible salt marsh and wetland species that grow exclusively with seawater uh and currently we're only familiar with one or two of them so it's about this culture of of changing mindsets towards 00:11:52 these highly nutritious and valuable food crops as well
for - stats - seawater farming crops - 300 edible species
stats - seawater farming crops - 300 edible species - education campaigns and cooking classes to publicize and new edible crops
within six months we saw a real increase in um in in organic matter from from one percent to eight percent
for - stats - seawater farming - soil nutrition impacts - 8% increase in 6 months
over a third of the world soils are heavily degraded
for - stats - agriculture - 1/3 of world's soils are degraded
they store up to 30 times more carbon than uh the rainforest
for - stats - carbon sequestration - salt marshes - 30x more sequestration than rainforests
Economic Policy Institute,by the year 2032 the majority of the working class willbe composed of people of colo
for - stats - whites become minority percentage of US working class by 2032
stats - whites become minority percentage of US working class by 2032 - From Economic Policy Institute
to - People of color will be a majority of the American working class in 2032 -
Dueto the cheaper cost of manufacturing in China, manyU.S. companies have outsourced their labor abroad.This has resulted in a massive trade deficit betweenthe U.S. and China and has led to a loss of around 2.4million jobs since 2013, or almost two-thirds of allU.S. manufacturing jobs
for - stats - US trade deficit with China
stats US trade deficit with China - Due to the cheaper cost of manufacturing in China, many U.S. companies have outsourced their labor abroad. - This has resulted in - a massive trade deficit between the U.S. and China and - has led to a loss of around 2.4 million jobs since 2013, or - almost two-thirds of all U.S. manufacturing jobs
This decline in agricultural produc-tion, coupled with a sheer reduction in wages due toa lack of labor and regulatory standards in the agree-ment, created over 1.3 million lost jobs in the Mexicanagricultural sector alone, leading to an unprecedentedlevel of immigration into the United States
for - quote - Mexico - NAFTA job loss - stats - Mexico - NAFTA job loss
quote - Mexico - NAFTA job loss - - This decline in agricultural production, - coupled with a sheer reduction in wages due to a lack of labor and regulatory standards in the agree- ment, - created over 1.3 million lost jobs in the Mexican agricultural sector alone, - leading to an unprecedented level of immigration into the United States
stats - Mexico - NAFTA job loss - Mexico lost 1.3 million jobs due to mass migration to the US due to NAFTA
The age cohort projected to make the earliest transition to majority-minority is the one that includes workers age 25 to 34. These are today’s 18- to 27-year-olds and for them, the projected transition year is 2021.
for - stats - 25 to 34 year old people of color is earliest U.S. working class cohort to transition in the year 2021.
The prime-age working-class cohort, which includes working people between the ages of 25 and 54, is projected to be majority people of color in 2029.
for - stats - majority of U.S. working class will be people of color by 2029
stats - majority of U.S. working class will be people of color by 2029 - prime-age U.S. working class cohort is age 25 to 54
the working class is projected to become majority people of color in 2032
for stats - U.S. working class projected to become majority people of color by 2032.
stats - U.S. working class projected to become majority people of color by 2032. - source: U.S. Bureau of Labor Statistics
In 2013, the working class—made up of those with less than a bachelor’s degree—constituted nearly two-thirds (66.1 percent) of the civilian labor force4 between ages 18 and 64.
for - stats - U.S. working class - 666.1% of civilian workforce between 18 and 64
you're going to have like 100 million more AI research and they're going to be working at 100 times what 00:27:31 you are
for - stats - comparison of cognitive powers - AGI AI agents vs human researcher
stats - comparison of cognitive powers - AGI AI agents vs human researcher - 100 million AGI AI researchers - each AGI AI researcher is 100x more efficient that its equivalent human AI researcher - total productivity increase = 100 million x 100 = 10 billion human AI researchers! Wow!
perhaps 100 million human researcher equivalents running day and night t
for - stats - AI evolution - equivalent of 100 million human researchers working 24/7
stats - AI evolution - equivalent of 100 million human researchers working 24/7 - By 2027, the industry's aim is to have tens of millions of GPU training clusters, running - millions of copies of automated AI researchers, or the equivalent of - 100 million human AI researchers working 24/7
the inference efficiency improved by nearly three orders of magnitude or 1,000x in less than 2 years
for - stats - AI evolution - Math benchmark - 2022 to 2024
stats - AI evolution - Math benchmark - 2022 to 2024 - 50% increase in accuracy over 2 years - inference accuracy improved 1000x or 3 Orders Of Magnitude (OOM)
there is essentially this Benchmark 00:09:58 called the math benchmark a set of difficult mathematic problems from a high school math competitions and when the Benchmark was released in 2021 gpt3 only got 5%
for - stats - AI - evolution - Math benchmark
stats - AI - evolution - Math benchmark - 2021 - GPT3 scored 5% - 2022 - scored 50% - 2024 - Gemini 1.5 Pro scored 90%
the volume of how much music is being created over 800,000 00:01:56 tracks a day are being created using udio
for - stats - AI music platform Udio - tracks created per day - over 800000
normalizeddifference vegetation index (NDVI)
O Índice de Vegetação por Diferença Normalizada (NDVI, do inglês Normalized Difference Vegetation Index) é uma métrica amplamente utilizada na área de sensoriamento remoto para quantificar a vegetação em uma determinada área a partir de imagens de satélite ou aeronaves. Este índice é baseado na reflexão da luz em diferentes comprimentos de onda pelas plantas.
if we can drill down to 20 kilometers, we can access these super-hot temperatures in greater than 90 percent of locations across the globe,
for - renewable energy - deep geothermal - stats - deep geothermal
stats - deep geothermal - 20 km deep hole can access super-hot temperatures in greater than 90% of locations across the globe
60% of Africa’s food is based on wheat, rice and maize
stats - 60% of Africa's food is composed of: - wheat - rice - maize
for - stats - Africa - main crops - Africa - main crops
The Inventory of Embodied Carbon and Energy 2019 says ‘general stone’
for - stats - carbon footprint of stone, steel, concrete
stats - carbon footprint - stone, steel , concrete - ( see below)
Is there enough stone?
for - stone availability - stats - stone availability
stone stats - rough calculation below
one of the core ways that we're weird is that we think we have a self
for - definition - Weird - stats - Weird countries - greatest sense of self - inspiration - introduce - Sarah Stein Lubrano - Rachell - Indyweb - Indranet
definition - Weird - Western Educated Industrialized Rich Democratic
inspiration - introduce Rachel and Sarah to Indyweb / Indranet - As soon as I heard Rachel and Sarah talk about the prominent and unique WEIRD feature of sense of self, - I immediately thought that we must introduce them to our work on the Indyweb / |ndranet as our system is designed based on the epistemology that - we are not a thing - we are a process - we are evolution in realtime action - the very use of the Indyweb / Indranet reinforces the reality that we are a process and not a fixed entity - so deconstructs the social construct of the self
The current silver economy stands at
for - silver economy - stats - silver economy
stats - silver economy - 2024 - 7 trillion yuan ($982 billion USD) - 6 % GDP - 2035 - 30 trillion yuan ($4.2 trillion USD) - 10% GDP
question - silver economy - climate change impacts? transition impacts?
In the next presidential election, 40.8 million members of Gen Z (ages 18-27 in 2024) will be eligible to vote,
for - Gen Z influence on 2024 US election - Trump 2024 win - an existential threat to humanity - stats - Gen Z - 2024 U.S. election
comment - Gen Z can play a role in determining the future of human civilization. How? Their vote in the upcoming 2024 U.S. election. If Donald Trump wins, it can pose an existential threat to human civilization - https://hyp.is/mwqwpsA-Ee6bAd9C2MLeKg/www.msnbc.com/opinion/msnbc-opinion/trump-2024-presidency-climate-change-rcna131928
stats - Gen Z - 2024 U.S. election
nearly one third of the world's population is still lives in an earthen building
for - stats - % of people inhabiting earthen buildings
only 11% say they are involved in a religious community.
for - stats - spiritual but not religious
stats - spiritual but not religious - Pew research study shows 22% of Americans now identify as spiritual but not religious - Only 11% say that are involved in a religious community
African countries have become reliant on a few food items.
for - stats - Africa - food insecurity - adjancency - food colonialism - food insecurity - food dependency
stats - food insecurity - 20 plant species make up 90% of food consumed in Africa - 3 crops introduced by the Green Revolution make up 60% of all calories consumed - wheat - maize - rice
African countries have become reliant on a few food items.
Just 20 plant species now provide 90% of our food, with three
accounting for 60% of all calories consumed on the continent and globally.
at the very time when research has found
massive food and nutrition insecurity in Africa.
Yet historically, Africa had
- 30,000 edible plant species, and
- 7,000 were traditionally cultivated or foraged for food.
The continent is a treasure trove of agrobiodiversity (a diversity of types of crops and animals) and
for - climate crisis - food production impacts - stats - high emissions scenario -food production
stats - high emissions scenario - over 30% of food crop production and animal production impacted - mostly around equator
All stakeholders in the world must now act according to the agreed Cop28 output, and deliver on the CopP28 Global Stocktake Agreement, which means rapidly transitioning away from oil, coal and gas, aiming at more than 40% reductions by 2030
for: climate mitigation, stats - 40% reduction by 2030, quote - Johan Rockstrom, quote - fossil fuel phase out
quote: Johan Rockstrom
the actual capture was about 7 million tons of carbon dioxide that's under 2 hours of global C2 emissions now that's after 20 00:02:57 years of the gates of this world being p pushing that technology so we captured was it .198 I think per of our CO2 emissions in 2021 and the global CCS Institute said 00:03:14 that if all of their plans come to fruition then by about 2030 we might capture about 45 to 49 million tons so about 1% of all of our carbon dioxide
for: stats - CCS, Kevin Anderson - CCS stats
stats
reference
2030, capturing around 125 Mt CO2 per year
for: stats - CCS, stats - CCUS
stats
There are now around 40 commercial capture facilities in operation globally, with a total annual capture capacity of more than 45 Mt CO2.
for: stats - CCS 2021, CCUS - 2021
stats
one thing we have noticed with these stresses is that uh from most of them we see these three 00:11:11 phenomena the stresses are amplifying accelerating and synchronizing uh simultaneously
for: pernicious cascades - qualities, stats - pernicious cascade, synchronized crisis
stats - pernicious cascades - climate change
they're probably about 15 or 20 major long-term stresses that you can identify that are affecting 00:09:43 Humanities outcomes for Better or For Worse and Trigger events which which are much less predictable
for: stats - major stressors of the polycrisis, trigger events
stats: major stressors of the polycrisis
if you bank with one of the largest 11 banks in the U.S., the report suggests using the rough estimate of 0.24 metric tons of CO2 for every $1,000 you have in the bank. Between 20% and 30% of your money is likely used in fossil fuel projects or other carbon-intensive sectors like mining.
for: stats - bank emissions
stats: bank emissions
Cutting emissions back to bring global temperatures down to 1.5 C or 2 C would be the equivalent of shutting down China, the United States, India, Japan and Russia.
for: stats - staying under 1.5 Deg C
stats: staying under 1.5 Deg C
Economies that are heavily reliant on oil and gas revenues face some stark choices and pressures in energy transitions.
for: stats - oil and gas - steep drop in revenues of fossil fuel producer economies
stats: oil and gas - steep drop in revenues of fossil fuel reliant economies
question
For producers that choose to diversify and are looking to align with the aims of the Paris Agreement, our bottom-up analysis of cash flows in a 1.5 °C scenario suggests that a reasonable ambition is for 50% of capital expenditures to go towards clean energy projects by 2030, on top of the investment needed to reduce scope 1 and 2 emissions.
for: stats - oil and gas industry - required investments in clean energy
stats: oil and gas industry - required investments in clean energy
comment
Some 30% of the energy consumed in a net zero energy system in 2050 comes from low-emissions fuels and technologies that could benefit from the skills and resources of the oil and gas industry.
for: stats - oil and gas industry - repurposing for clean energy
stats: oil and gas industry - repurposing for clean energy
question
Many producers say they will be the ones to keep producing throughout transitions and beyond. They cannot all be right.
for: stats - oil and gas industry - fight for survival
stats: oil and gas industry - fight for survival
In a scenario that hits global net zero emissions by 2050, declines in demand are sufficiently steep that no new long lead-time conventional oil and gas projects are required. Some existing production would even need to be shut in. In 2040, more than 7 million barrels per day of oil production is pushed out of operation before the end of its technical lifetime in a 1.5 °C scenario.
for: stats - oil and gas industry - steep drop in production
stats - oil and gas industry - steep drop in production
The production, transport and processing of oil and gas results in just under 15% of global energy-related greenhouse gas emissions. This is a huge amount, equivalent to all energy-related greenhouse gas emissions from the United States.
for: stats - oil and gas industry operational emissions
stats: oil and gas industry - operational emissions
Oil and gas producers account for only 1% of total clean energy investment globally.
for: stats - oil and gas industry - clean energy investments
comment
This new IEA report explores what oil and gas companies can do to accelerate net zero transitions and what this might mean for an industry which currently provides more than half of global energy supply and employs nearly 12 million workers worldwide.
for: stats - oil and gas industry - profit split, stats - oil and gas industry - reserves split
stats: oil and gas industry profit split
stats: oil and gas reserve splits
Oil and gas projects currently produce slightly higher returns on investment, but those returns are less stable.
stats - oil and gas vs clean energy returns
stats: oil and gas vs clean energy returns between 2010 and 2022
If all national energy and climate goals are reached, this value is lower by 25%, and by 60% if the world gets on track to limit global warming to 1.5 °C.
for: stats - fossil fuel industry - valuation in a 1.5 Deg C world
stats: fossil fuel industry - valuation in a 1.5 Deg C world
To align with a 1.5 °C scenario, these emissions need to be cut by more than 60% by 2030 from today’s levels and the emissions intensity of global oil and gas operations must near zero by the early 2040s.
The production, transport and processing of oil and gas results in just under 15% of global energy-related greenhouse gas emissions.
for: stats - oil and gas industry, stats - fossil fuel industry
Oil and gas producers account for only 1% of total clean energy investment globally.
for: stats - oil and gas industry, stats - fossil fuel industry
stats - oil and gas industry
industry which currently provides more than half of global energy supply and employs nearly 12 million workers worldwide.
for: stats - oil and gas industry, stats - fossil fuel industry
stats - oil and gas industry
if governments deliver in full on their national energy and climate pledges, then oil and gas demand would be 45% below today's level by 2050 and the temperature rise could be limited to 1.7 °C. If governments successfully pursue a 1.5 °C trajectory, and emissions from the global energy sector reach net zero by mid-century, oil and gas use would fall by 75% to 2050.
for: Nationally Determined Contributions insufficient to meet 1.5 Deg C, NDC insufficient to meet 1.5 Deg C
stats: climate change - NDC
when we're looking here at sleep apnea we're looking at these bars here and you can see that people with 00:06:21 sleep apnea the most likely time for them to die is between midnight and six o'clock in the morning and you can imagine why that would be
for: stats - sleep apnea - most likely time to die
stats: sleep apnea
sometimes this 00:04:37 can happen up to a hundred times in an hour that means at least once a minute or more maybe even twice a minute that this is happening you can expect that people are not going to get very good sleep with this
for: stats - sleep apnea cycle
stats: sleep apnea cycle
the survey also found that 34% of respondents reported feeling loneliness and 44% reported feeling a sense of not mattering to others.
I feel like college (on paper) do so much to help their students adjust to their new lives and the new world that they are exposed to on campus. What can they change to make this better?
people generally don't recognize is that forest across the planet has responded in a tremendously helpful way 00:16:29 by absorbing roughly 25% of carbon dioxide from our fossil fuel burning. And we generally talk about this as a positive. "Isn't that fantastic!" But, in reality, it's a stress response.
stats
question
Based on an analysis of suitable habitats, the researchers estimate the ants could invade 7% of the European continent.
Hotter, harder-to-contain fires will burn indefinitely
Cities across the country will begin to reach “climate departure”: a symbolic rubicon, after which a climate falls completely outside historical norms.
the systemwide optimum population cohort for the climate action interventions is a community (P4) of 10 000 persons
for: cross-scale translation of earth system boundaries, downscaled planetary boundaries, leverage point
stats
Demographic and Socioeconomic Correlates of Disproportionate Beef Consumption among US Adults in an Age of Global Warming
date: Aug. 30, 2023
stats
None of the 28 streams Cunningham and his colleagues studied hit summertime highs warmer than 25.9 C, the point where warming water can become lethal. But in four rivers, temperatures climbed past 20.3 C, the threshold where some have found juvenile coho stop growing.
for: climate change - impacts, extinction, biodiversity loss, fish kill, salmon dieoff, stats, stats - salmon, logging, human activity
paraphrase
stats
comment
One study found once temperatures climb past 20.3 C, salmon stop growing because they can't get enough food to satisfy their metabolism.
-for: salmon survival temperature, stats, stats - salmon, salmon dieoff, climate change - impacts, fish kill - paraphrase -stats - One study found once temperatures climb past 20.3 C, - salmon stop growing because they can't get enough food to satisfy their metabolism.
In our early experiments, reported by The Washington Post in March 2013, we discovered that Google’s search engine had the power to shift the percentage of undecided voters supporting a political candidate by a substantial margin without anyone knowing.
One hundred trillion cells, one and 14 zeros, that's the approximate number of microorganisms in your body, ten times greater than the number of your own cells. Your microbial baggage occupies almost 2% of your body weight, that's about one and a half kilograms, approximately the weight of your liver. Or your brain.
attrition rates for intentional communities are not all that different from many other types of human endeavour.
Generally, intentional communities fail at a rate slightly higher than that of most start-ups. Only a handful of communities founded in the US during the 19th century’s ‘golden age of communities’ lasted beyond a century; most folded in a matter of months. This golden age birthed more than 100 experimental communities, with more than 100,000 members in total who, according to the historian Mark Holloway in Heavens on Earth (1951)
what I'm advocating here isn't radical redistribution it's merely more 00:13:08 redistribution in a and structurally dependable manner that is fair that is inclusive and that allows for the poor and improvised Nations to be granted excess not just a vital strategic resources that are very much needed in 00:13:21 maintaining the quality of life at own citizens but also more importantly the ropes to climb the ladder
Estimates indicate that nearly 20–30% of our male ancestors died in intergroup conflicts.
478 intentional communities since the 1820s have now shrunk to 112 worldwide in the last 30 years)
The Shift Project has estimated that if only 3% of festival-goers attending the Vieilles Charrues Festival come by plane, they account for more than 60% of carbon emissions linked to public transport!
1% of the world's population is responsible for an estimated 50% of emissions from commercial air transport, most of this associated with premium class air travel of affluent frequent fliers
5245 superyachts with lengths of 30–180 m in 2021, a five-fold increase from 1090 yachts in 1990
yacht stats - 2021: 5245 superyachts of lengths 30-180m - 1990: 1090 superyachts of lengths 30-180m - stats - yachts - quote - yachts
the top 1% now being responsible for 17% of total emissions, the top 10% for 48%, and the bottom half of the world population for only 12% (in 2019).
Quotable carbon inequality stats: - the top 1% responsible for 17% of total emissions, - the top 10% for 48%, - the bottom 50% for12% - stats carbon inequality - quote carbon inequality - 2019
// A key question is also this: - what are individuals using those carbon emissions for? - is it being used just for luxury consumption - or is it being used to develop and actionize scalable low carbon strategies? - if it is the later, it could be seen as a de-carbon investment
close to two thirds of the overall carbon footprint of those billionaires owning yachts is caused by yacht-ownership. This implies a contribution to climate change that is up to 6500 times greater for these individuals than the global average of 4.5 t CO2 per capita and year, or up to 300,000 times greater than the contribution of the poorest, at 0.1 t CO2 per person and year
Yacht stats: - close to two thirds of the overall carbon footprint of those billionaires owning yachts is caused by yacht-ownership. - Carbon footprint is - 6500 times greater than the global average of 4.5 t CO2 per person per year, - 300,000 times greater than the poorest, at 0.1 t CO2 per person and year - stats - carbon inequality - quote - carbon inequality
the top 0.01% emitting in excess of 2300 t CO2-e per capita in 2019, compared to 6 t CO2-e on global average.
Quotable carbon inequality stats: - top 0.01% emit more than 2300 t CO2-e per capita in 2019, - global average is 6 t CO2-e - therefore, the top 0.01% emit 2300/6 = 383x more than the global average. - quote - carbon inequality - stats - carbon inequality
Around 40 million homes (or roughly 35 percent of all U.S. houses) use a gas stove to make food.
This is less than I thought it would be.
High-level view of the 3 different types of heterogeneity (clinical, methodological, statistical). I used these definitions as the basis for some Anki cards
I came here to get the handout for Markov chains mentions in Lecture 31: Markov chains | Statistics 110. Lectures give a great intuition behind the equations, their motivation, and their limitations.
Dr. Miho Ohsaki re-examined workshe and her group had previously published and confirmed that the results are indeed meaningless in the sensedescribed in this work (Ohsaki et al., 2002). She has subsequently been able to redefine the clustering subroutine inher work to allow more meaningful pattern discovery (Ohsaki et al., 2003)
Look into what Dr. Miho Ohsaki changed about the clustering subroutine in her work and how it allowed for "more meaningful pattern discovery"
Eamonn Keogh is an assistant professor of Computer Science at the University ofCalifornia, Riverside. His research interests are in Data Mining, Machine Learning andInformation Retrieval. Several of his papers have won best paper awards, includingpapers at SIGKDD and SIGMOD. Dr. Keogh is the recipient of a 5-year NSF CareerAward for “Efficient Discovery of Previously Unknown Patterns and Relationships inMassive Time Series Databases”.
Look into Eamonn Keogh's papers that won "best paper awards"
http://www.cs.ucr.edu/~eamonn/meaningless.pdf Paper that argues cluster time series subsequences is "meaningless". tl;dr: radically different distributions end up converging to translations of basic sine or trig functions. Wonder if constructing a simplicial complex does anything?
Note that one researcher changed the algorithm to produce potentially meaningful results
PDF summary by Cochrane for planning a meta-analysis at the protocol stage. Gives guidance on how to anticipate & deal with various types of heterogeneity (clinical, methodological , & statistical). Link to paper
Covers - ways to assess heterogeneity - courses of action if substantial heterogeneity is found - methods to examine the influence of effect modifiers (either to explore heterogeneity or because there's good reason to suggest specific features of participants/interventions/study types will influence effects of the intervention. - methods include subgroup analyses & meta-regression
Statistical heterogeneity is the term given to differences in the effects of interventions and comesabout because of clinical and/or methodological differences between studies (ie it is a consequenceof clinical and/or methodological heterogeneity). Although some variation in the effects ofinterventions between studies will always exist, whether this variation is greater than what isexpected by chance alone needs to be determined.
If the statistical heterogeneity is larger that what's expected by chance alone, then what does that imply? That there's either clinical or methodological heterogeneity within the pooled studies.
What's the impact of the presence of clinical heterogeneity? The statistical heterogeneity (variation of effects/results of interventions) becomes greater than what's expected by chance alone
What's happens if methodological heterogeneity is present? The statistical heterogeneity (variation of effects/results of interventions) becomes greater than what's expected by chance alone
Quadrants I and II: The average student’s scores on basic skills assessments increase by21 percentiles when engaged in non-interactive, multimodal learning (includes using textwith visuals, text with audio, watching and listening to animations or lectures that effectivelyuse visuals, etc.) in comparison to traditional, single-mode learning. When that situationshifts from non-interactive to interactive, multimedia learning (such as engagement insimulations, modeling, and real-world experiences – most often in collaborative teams orgroups), results are not quite as high, with average gains at 9 percentiles. While notstatistically significant, these results are still positive.
I think this is was Thomas Frank was referring to in his YT video when he said "direct hands-on experience ... is often not the best way to learn something. And more recent cognitive research has confirmed this and shown that for basic concepts a more abstract learning model is actually better."
By "more abstract", I guess he meant what this paper calls "non-interactive". However, even though Frank claims this (which is suggested by the percentile increases shown in Quadrants I & II), no variance is given and the authors even state that, in the case of Q II (looking at percentile increase of interactive multimodal learning compared to interactive unimodal learning), the authors state that "results are not quite as high [as the non-interactive comparison], with average gains at 9 percentiles. While not statistically significant, these results are still positive." (emphasis mine)
Common level of signifcances are \(\alpha =.20,~.10,~.05,~.01\)
The random process has outcomes
The "universal set" aka "sample space" of all possible outcomes is sometimes denoted by \(U\), \(S\), or \(\Omega\): https://en.wikipedia.org/wiki/Sample_space
From what I recall, the notation, \(\Omega\), was mainly used in higher-level grad courses on probability theory. ie, when trying to frame things in probability theory as a special case of measure theory things/ideas/processes. eg, a probability space, \((\cal{F}, \Omega, P)\) where \(\cal{F}\) is a \(\sigma\text{-field}\) aka \(\sigma\text{-algebra}\) and \(P\) is a probability density function on any element of \(\cal{F}\) and \(P(\Omega)=1.\)
Somehow, the definition of a sigma-field captures the notion of what we want out of something that's measurable, but it's unclear to me why so let's see where writing through this takes me.
A sigma-algebra \(\cal{F}\) on a set \(\Omega\) is defined somewhat close to the definition of a topology \(\tau\) on some space \(X\). They're both collections of sub-collections of the set/space of reference (ie, \(\tau \sub 2^X\) and \(\cal{F} \sub 2^\Omega\)). Also, they're both defined to contain their underlying set/space (ie, \(X \in \tau\) and \(\Omega \in \cal{F}\)).
Additionally, they both contain the empty set but for (maybe) different reasons, definitionally. For a topology, it's simply defined to contain both the whole space and the empty set (ie, \(X \in \tau\) and \(\empty \in \tau\)). In a sigma-algebra's case, it's defined to be closed under complements, so since \(\Omega \in \cal{F}\) the complement must also be in \(\cal{F}\)... but the complement of the universal set \(\Omega\) is the empty set, so \(\empty \in \cal{F}\).
I think this might be where the similarity ends, since a topology need not be closed under complements (but probably has a special property when it is, although I'm not sure what; oh wait, the complement of open is closed in topology, so it'd be clopen! Not sure what this would really entail though 🤷♀️). Moreover, a topology is closed under arbitrary unions (which includes uncountable), but a sigma-algebra is closed under countable unions. Hmm... Maybe this restriction to countable unions is what gives a coherent notion of being measurable? I suspect it also has to do with Banach-Tarski paradox. ie, cutting a sphere into 5 pieces and rearranging in a clever way so that you get 2 sphere's that each have the volume of the original sphere; I mean, WTF, if 1 sphere's volume equals the volume of 2 sphere's, then we're definitely not able to measure stuff any more.
And now I'm starting to vaguely recall that this what sigma-fields essentially outlaw/ban from being possible. It's also related to something important in measure theory called a Lebeque measure, although I'm not really sure what that is (something about doing a Riemann integral but picking the partition on the y-axis/codomain instead of on the x-axis/domain, maybe?)
And with that, I think I've got some intuition about how fundamental sigma-algebras are to letting us handle probability and uncertainty.
So then events like \(E_1\) and \(E_2\) that are elements of the set of sub-collections, \(\cal{F}\), of the possibility space \(\Omega\). Like, maybe \(\Omega\) is the set of all possible outcomes of rolling 2 dice, but \(E_1\) could be a simple event (ie, just one outcome like rolling a 2) while \(E_2\) could be a compound(?) event (ie, more than one, like rolling an even number). Notably, \(E_1\) & \(E_2\) are NOT elements of the sample space \(\Omega\); they're elements of the powerset of our possibility space (ie, the set of all possible subsets of \(\Omega\) denoted by \(2^\Omega\)). So maybe this explains why the "closed under complements" is needed; if you roll a 2, you should also be able to NOT roll a 2. And the property that a sigma-algebra must "contain the whole space" might be what's needed to give rise to a notion of a complete measure (conjecture about complete measures: everything in the measurable space can be assigned a value where that part of the measurable space does, in fact, represent some constitutive part of the whole).
Ah, so that's where random variables come into play (and probably why in probability theory they prefer to use \(\Omega\) for the sample space instead of \(X\) like a base space in topology). There's a function, that is, a mapping from outcomes of this "random event" (eg, a role of 2 dice) to a space in which we can associate (ie, assign) a sense of distance (ie, our sigma-algebra). What confuses me is that we see things like "\(P(X=x)\)" which we interpret as "probability that our random variable, \(X\), ends up being some particular outcome \(x\)." But it's also said that \(X\) is a real-valued function, ie, takes some arbitrary elements (eg, events like rolling an even number) and assigns them a real number (ie, some \(x \in \mathbb{R}\)).
Aha! I think I recall the missing link: the notation "\(X=x\)" is really a shorthand for "\(X(\omega)=x\)" where \(\omega \in \cal{F}\). But something that still feels unreconciled is that our probability metric, \(P\), is just taking some real value to another real value... So which one is our sigma-algebra, the inputs of \(P\) or the inputs of \(X\)? 🤔 Hmm... Well, I guess it has the be the set of elements that \(X\) is mapping into \(\mathbb{R}\) since \(X\text{'s}\) input is a small omega \(\omega\) (which is probably an element of big omega \(\Omega\) based on the conventions of small notation being elements of big notation), so \(X\text{'s}\) domain much be the sigma-algrebra?
Let's try to generate a plausible example of this in action... Maybe something with an inequality like "\(X\ge 1\)". Okay, yeah, how about \(X\) is a random variable for the random process of how long it takes a customer to get through a grocery line. So \(X\) is mapping the elements of our sigma-algebra (ie, what customers actually end up experiencing in the real world) into a subset of the reals, namely \([0,\infty)\) because their time in line could be 0 minutes or infinite minutes (geesh, 😬 what a life that would be, huh?). Okay, so then I can ask a question like "What's the probability that \(X\) takes on a value greater than or equal to 1 minute?" which I think translates to "\(P\left(X(\omega)\ge 1\right)\)" which is really attempting to model this whole "random event" of "What's gonna happen to a particular person on average?"
So this makes me wonder... Is this fact that \(X\) can model this "random event" (at all) what people mean when they say something is a stochastic model? That there's a probability distribution it generates which affords us some way of dealing with navigating the uncertainty of the "random event"? If so, then sigma-algebras seem to serve as a kind of gateway and/or foundation into specific cognitive practices (ie, learning to think & reason probabilistically) that affords us a way out of being overwhelmed by our anxiety or fear and can help us reclaim some agency and autonomy in situations with uncertainty.
the moments of a function are quantitative measures related to the shape of the function's graph
Vaguely recall these "uniquely determined" some (but not all) functions. Later on, the article says all moments from \(0\) to \(\infty\) do uniquely determine bounded functions. Guess you can't judge a book (or graph) by it's cover; you have to wait moment by moment for it to reveal itself
Supply chains were disrupted early in the pandemic, with about half of companies reporting supply chain/sourcing- related disruptions in April 2020 (top three: 47%
creating note for key stat
Tom Whipple on Twitter. (n.d.). Twitter. Retrieved 29 October 2021, from https://twitter.com/whippletom/status/1442226972491333641
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This is a comment on the whole concept really, but the best thing I ever did for myself in terms of gaining a better understanding of data and how to interpret it was to take a research and methods design class, and of course statistics as well. It helped me understand why researchers choose certain ways to represent data, and understand that to the untrained eye, data can be manipulated to seemingly prove almost any point. It is our responsibility to be clear and honest in our presentation of data. Kind of a "with great power comes great responsibility" moment. Because unfortunately, if you throw some statistics around people assume you must know what you are talking about, and often take it at face value without doing their own research, so it is incredibly easy to mislead and misinform the masses in this way.
The quest for Truth is everywhere and not limited to the economic topics linked here. This is just a topic that started a thought process where I had access to a convenient tool (Hypothesis) to bookmark my thoughts and research.
Primary thought is: The Quest for Truth. Subcategories would provide a structured topic for the thought. In this case the subcategory would be: US Economy, Inflation
Targets (data, methods, people, time, semantics, agenda, demographic, motive, means, media, money, status) hold a position in time long enough to fulfill a purpose or agenda. Sometimes they don't consciously change, but history over time shines light and opens cracks in original narrative that leads to new truth's, real or imagined.
Rules of thumb on magnitudes of effect sizes
Rules of thumb on magnitudes of effect sizes
Informal mentorship was captured using the following retrospective question from Wave 3 of the AddHealth data: "Other than your parents or step-parents, has an adult made an important positive difference in your life at any time since you were 14 years old?" Based on this question, I created a binary indicator for mentorship coded 1 if the young person had an informal mentor and 0 if they did not. Respondents were then asked "How is this person related to you?", and given response options like "family,""teacher/counselor,""friend's parent,""neighbor,"and "religious leader.
Defining informal mentorship in the survey data
Middle-income subsample 3,158
Middle-income subsample for analysis was 3,158
1. "Middle-income" is defined as anyone living in a household making two-thirds to double the median income (Pew Research Center, 2016). In 1994, the median income for a family of four was $46,757(US Bureau of Statistics, 1996). Thus, "middle-income" families would be those making between $30,860 and $93,514. Because I only have data available in $25,000 increments, I am defining middle-income families as those making between $25,000 and $100,000 a year in Wave 1.
Middle-income = families making $25k-$100k a year in Wave 1
Defining low-,middle-, and high-income groupsDue to the limitation in the data described above, all incomes had to be converted in to categorical responses, with the smallest possible category size of $25,000 dollars. This created five categories for all incomes:
Defining income groups: under $25k, $25k-$49999, $50k-$74999, $75k-$99999, and $100k+.
Wave 1 income was collected as a continuous variable, with an average of $45,728, (N=15,351, SD=$51,616). Low-income respondents (with incomes below $25,000) had an average of $9,837 (N=3,049, SD=4,633). Wave 4 income was recorded as a categorical variable, however, where respondents indicated if they made under $5,000, between $5,000 and $10,000, between $10,000 and $15,000, etc. These categories were of different sizes, getting larger as the income grew larger. Therefore, in order to create comparable measures between Wave 1 and Wave 4, both incomes were converted to 5 groups, (1) household income of less than $25,000, (2) household income of $25,000 to $49,999, (3) household income of $50,000 to $74,000, (4) household income of $75,000 to $99,000, and (5) household income of over $100,000
Upward mobility (dependent variable); data surrounding household incomes of Wave 1 and Wave 4
stratum. This sampling method yielded a sample of 20,745 students in 7thto 12thgrade, with oversampling of some minority racialethnic groups, students with disabilities, and twins(Harris, 2018). Data were also collected from the parents of the in-home survey respondents, with an 85% success rate (Chen & Chantala, 2014).Wave 1 participants also reported their home address, which was then linked to a number of state-, county-, and Census tract-level variables from other sources. The present study used the school survey data, the in-home interview data, the parent survey data, and the data that was linked to state, county, and census-tracts, as described above. This study also used data from two subsequent waves of in-home interviews, specifically waves 3 and 4 (no new information relevant to the present study was collected in Wave 2). For each subsequent wave, AddHealth survey administrators recruited from the pool of Wave 1 respondents, no matter if they had responded to any wave since Wave 1. The present study used Wave 1 data for information about the youth’s socioeconomic status, social capital and other related variables. This wave collected from 1994 to 1995, when most respondents were between11 and 19 years old (n=20,745 youth) (Harris, 2013).This study also used information from the third wave of in-home interview data, namely all questions on informal mentoring. This wave wascollected in 2001 and 2002 when the youth (N=15,197) were 18 to 26 years old. The fourth wave of data was collected in 2008 and 2009, when the respondents were 25 to 33 years old (n=15,701). Data from the fourth wave wereused to calculate economic mobility, the key dependent variable for this study.
Data source
DataTo address these questions, this study used three wavesofthe restricted-use version of the National Longitudinal Study of Adolescent Health (AddHealth). AddHealth is a multi-wave longitudinal, nationally representative study of youth who have been followed since adolescence through to adulthood. The AddHealth data were collected by sampling 80 high schools stratified across region, school type, urbanicity, ethnic mix, and school size during the 1994-1995 academic year. Fifty-two feeder schools(commonly middle schools whose students were assumed to go to these study high schools)were also sampled, resulting in a total of 132 sample schools. (Chen & Chantala, 2014, Harris, 2013). When sample high schools had grades 7 to 12, feeder schools were not recruited, as the lower grades served the role of feeding in younger students (Chen, 2014). Seventy nine percent of schools approached agreed to be in the study (Chen & Chantala, 2014). An in-school survey was then administered to over 90,000 students from these 132 schools. This survey was given during a single day within a 45-to 60-minute class period (Chen & Chantala, 2014). Subsequent recruitment for in-home interviews was done by stratifying students in each school by grade and sex and then randomly choosing 17 students from each
Data source
Figure 1: Potential Ways MentorsCanPromote Mobility
Figure depicts effects of mentors providing social support and social capital
The third function mentors play in promoting upward mobility for young people is the direct effect the provision of social capital (both bridging and bonding capital) has on building blocks of mobility(Ellwood et al., 2016). Bonding capital from a mentor who is also a teacher could foster feelings of school connectedness, which has been demonstrated to lead to academic engagement and ultimately, educational attainment (Ashtiani & Feliciano, 2018; Li, Lerner, & Lerner, 2010). An employer could have a similar effect by providing bonding capital. If a young person feels connected to the workplace or mission of the work place through their mentoring relationships with their employer, they are likely to have higherjob satisfaction and more opportunities for promotion (Ghosh &Reio 2013). Bridging capital can also have a direct effect on key links in the chain. Studies have shown that bridging mentors (commonly teachers and school personnel) were likely to promote educational attainment and employment
Social capital (bridging and bonding) can "foster feelings of school connectedness, which has been demonstrated to lead to academic engagement and ultimately, educational attainment"; similar in workplaces, bonding with mentors in settings can create sense of connectedness with setting overall
Those who report feeling emotionally supported have higher rates of academic competence (Sterrett, Jones, Mckee, & Kincaid, 2011) and strong academic outcomes (Wentzel, Russell & Baker, 2016). Additionally, adults who have achieved upward mobility are more likely to report instrumentally supportive relationships than those who were not mobile (Chan, 2017). Clearly, social support has a direct influence on someof thebuilding blocks of mobility
Social support leads to higher rates of academic competence, strong academic outcomes; has a direct influence on some of the building blocks of mobility
compensate for the lack of other resources their peers have, such as expansive connected social networks.
Youth from disadvantaged neighborhoods make greater strides than more-resourced peers when mentored by someone outside the family; can potentially compensate for lack of other resources in youth's life
A young person's neighborhood context is associated with their chance of being mentored and their chance of being economically mobile. Young people living in under-resourced neighborhoods are also unlikely to be upwardly mobile (Chetty & Hendren, 2016a; Chetty, & Hendren, 2016b; Chetty, Hendren, Kline & Saez, 2014b; Goldsmith, Britton, Reese, & Velez, 2017). Low-income children are more likely to live in neighborhoods with higher crime and drug use (Abelev, 2009). Young people from these neighborhoods are more likelytohave lower tests scores (McCullock & Joshi, 2001), drop out of high school, and be unemployed (Ainsworth, 2002). This neighborhood effect is cumulative: the more time spent in under
young people from more advantaged homes and communities as more likely to have an informal mentor.
Youth in more advantaged homes are more likely to have an informal mentor
Black non-Hispanic youth and girls are most likely to be mentored (Bruce & Bridgeland, 2014) as are youth who have a two-parent home with educated parents (Erickson et al., 2009) and not on public assistance (McDonald & Lambert, 2014). Place matters, as having lived in safe neighborhoods (Miranda-Chan, Fruiht, Dubon, Wray-Lake, 2016) and neighborhoods withhigher rates of white, employed individuals not receiving public assistance and living above the poverty line (McDonald & Lambert, 2014) are all associated with a greater chance of reporting a mentor. A young person’s participation in hobbies, organizations, and religious services also leads to higher rates of informal mentorship (Thompson & Greeson, 2017; Schwartz, Chan, Rhodes, & Scales, 2013). Individual qualities such as prosocial behavior (Hagler, 2017), a secure attachment style (Zinn, Palmer, & Nam, 2017), and a likeable personality (Erickson et al., 2009) are associated with having a natural mentor, as does having more friends
Typical mentorship demographics
In one study, a low-income child was twice as likely to graduate college when mentored. This is in contrast to previous literature that demonstrates consistent but small associations between informal mentoring and college completion for middle-income children (Reynolds & Parrish, 2018). This suggests that youth from low-income families benefit more from mentorship than those who may have a plethora of positiveresources in their life
Low-income families benefit more from mentorship; one study suggests that mentored low-income children are 2x as likely to graduate college
For instance, much attention has been paid to informal mentoring and educational outcomes: mentored youth are more likely to feel connected to their school (Black, Grenard, Sussman, & Rohrbach, 2010), have better grades (Chang et al., 2010), attend college (DuBois & Silverthorn, 2005a; Reynolds & Parrish, 2017) and receive a bachelor’s degree (Miranda-Chan, Fruiht, Dubon, & Wray-Lake, 2016; Erickson, McDonald, Elder, 2009). Cumulatively, these studies, along with a 2018 meta-analysis (Van Dam et al.) suggest a strong and consistent relationship between having an informal mentor and positive educational outcomes.
Informal mentors can result in and influence positive educational outcomes, help promote ability to "feel connected to their school"
Literature has established that informal mentoring is most commonly associated with psychosocial outcomes such as lower stress levels, higher life satisfaction, and lower rates of depression (DuBois & Silverthorn, 2005a; Chang et al., 2010; Munson & McMillen, 2009) and socioemotional outcomes, including improved social skills, perceived social support, and higher self-esteem (Van Dam et al., 2018; Miranda-Chan et al., 2016).These associations are strong and consistent across studies, suggesting that informal mentoring is positively correlated with positive psychosocial and socioemotional outcomes.
Informal mentoring is positively correlated with positive psychosocial and socioemotional outcomes
Informal mentoring relationships are also more prevalent than formal ones. One study found that 62% of youth had an informal mentoring relationship, compared to just 15% who reportedhaving a formal mentoring relationship(Bruce & Bridgeland, 2014). There are similar differences in prevalence when asking adults if they have mentored young people: 67% of those who reported mentoring someone in the past year did so informally, while only 31% did so through a formal program, (Oosthuizen, 2017). While coming from a low-income family is one of several risk factors associated withlower exposure toinformal mentors, it is clear that many of these youth are still able to identify caring adults in their lives
Persistent immobility also disproves the idea of the U.S. being a land of equal opportunity. Since the term "the American Dream" was first coined in 1931, it has become a persistent cultural ethos, a wish list of sorts, with a consistent main tenet being the idea that each generation can achieve more than their parents (Samuel, 2012). Yet we know this tenet of the American Dream is no longer true: the chances that a child earnsmore than their parents has decreased in the past 40 years, especially for low-income families
chances of earning more than parents has decreased in past 40yrs for low-income families